Full-time
Data Engineer
Competitive
Henderson, NVIT & TechnologyPosted 27d ago
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Role overview
Job type
Salary
Competitive
Location
Sector
Role
Posted
27 days ago
Job description
Responsibilities
Develop, scale, and maintain high-performing data pipelines using Python and SQL
Build and architect enterprise Data Lake applications
Conduct performance tuning and optimization for Spark/PySpark and Hive jobs
Design and automate pipeline workflows using orchestration tools like Apache Airflow
Collaborate with cross-functional team
Preferred
Experience with Apache Airflow for data pipeline orchestration
Knowledge of cloud storage solutions (AWS S3) and query
Benefits
Medical insurance offerings (all benefits are based on eligibility)
Prescription insurance offerings (all benefits are based on eligibility)
Dental insurance offerings (all benefits are based on eligibility)
Vision insurance offerings (all benefits are based on eligibility)
AD&D insurance offerings (all benefits are based on eligibility)
Life insurance offerings (all benefits are based on eligibility)
Short-term disability (all benefits are based on eligibility)
401K plan (all benefits are based on eligibility)
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains.
Atlanta, Georgia, USA
https://www.randstaddigital.com
Distribution of Different Job Fields Receiving Sponsorship
94
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Customer Service and Support
Sales
Accounting and Finance
Creatives and Design
Marketing
Human Resources
Trends of Total Sponsorships
*2026
(712)
2025
(739)
2024
(821)
Qualifications
Proven expertise in Python programming for data engineering
Advanced proficiency in SQL, with experience writing complex queries and optimizing execution
Hands-on experience in Data Lake development and management
Solid experience with Spark, PySpark, and Hive application tuning
Experience with Apache Airflow for data pipeline orchestration
Knowledge of cloud storage solutions (AWS S3) and query
Required skills
Python, SQL, Data Lake Development and Management, Apache Spark, PySpark, Apache Hive, Apache Airflow, AWS S3
Preferred skills
Knowledge of cloud storage solutions (AWS S3) and query
Experience
Mid level
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